Evidence-based treatment through data-driven insights
SyqeAir Clinical Dashboard
Overview
The clinical dashboard is an AI platform that gives nurses informed decisions on how to continue patients' treatment depending on their complete medical data and treatment plan with the SyqeAir inhaler
The Problem
Before the clinical dashboard, the nursing staff would provide medical support to patients that took a lot of time because they were required to review medical documents and information provided by patients and save it in a passive database.
Then they had to analyze the patient's information each time during a conversation to give them the best treatment they needed.
Eventually, this resulted in very long follow-up calls.
Process
stakeholder research
Concept creation
User testing
Limited Beta
Official launch
Research
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What are the stakeholders' pain points and needs
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Refine the company's goals
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What tools the company uses and what they lack to achieve the goals
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Observe and understand how the nursing staff work
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Understanding how conversations with patients are conducted
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Talk with patients to understand their pain points and needs
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Create a patient and nurses journey map
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Reaserch the market for similar tools
Key Insights
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Nurses work in several programs simultaneously
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Not everyone on the nursing staff has the same experience
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No internet = No patient support
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Softwares are very secured
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Softwares do not work on tablets = No mobility to the nurses
User Profile
Based on the research there are 2 main users:
Nurses who conduct the questioners and patients Interested in reliable and fast treatment
Patient journey
Wireframes
Beta & User feedback
After completing the detailed wireframe for the main screens, I approached the nurses, the primary users, and checked if the system was intuitive and met the requirements. Simultaneously, I checked with the rest of the stakeholders.
After several iterations, an MVP was ready, and nurses could start using the product right away.